Booz Allen Hamilton - Annapolis Junction, MD

posted 26 days ago

Part-time,Full-time - Senior
Annapolis Junction, MD
Professional, Scientific, and Technical Services

About the position

As a Senior Machine Learning Operations Engineer at Booz Allen Hamilton, you will play a crucial role in deploying, maintaining, and monitoring AI and ML solutions for various clients. Your primary responsibility will be to create and manage reusable CI/CD pipelines that facilitate rapid prototyping and deployment of infrastructure. This position offers the opportunity to work within an agile team, enhancing efficiency and responsiveness to client needs while delivering robust AI and ML products.

Responsibilities

  • Deploy, maintain, and monitor AI and ML solutions across various client spaces.
  • Generate and manage reusable CI/CD pipelines for rapid prototyping and deployment.
  • Utilize cloud-native and open-source frameworks for automated testing, building, and deployment of software.
  • Collaborate with an agile team to reduce manual testing, debugging, and deployment time.

Requirements

  • 10+ years of experience with machine learning, DevOps, data science, or software engineering.
  • Experience building and deploying containerized ML solutions with Docker and Kubernetes.
  • Experience with cloud platforms, including AWS, Google Cloud, or Azure.
  • Experience with ML programming languages, including Python, Scala, or Java.
  • TS/SCI clearance with a polygraph.
  • Bachelor's degree.
  • Ability to obtain a IAT Level II certification within 45 days of employment.

Nice-to-haves

  • Experience architecting and deploying generative AI solutions, such as large language models (LLMs).
  • Experience with CI/CD pipelines, such as AWS CodePipeline, Jenkins, or GitHub Actions.
  • Experience with model serving solutions, such as AWS SageMaker, KServe, or Seldon Core.
  • Experience with enterprise data platforms.
  • Experience with infrastructure as code technologies, including Terraform, Pulumi, or Ansible.

Benefits

  • Health insurance
  • Life insurance
  • Disability insurance
  • Financial benefits
  • Retirement benefits
  • Paid leave
  • Professional development
  • Tuition assistance
  • Work-life programs
  • Dependent care
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